Pandas DataFrame: Change the name 'James' to 'Suresh' in name column of the DataFrame
18. Changing a Specific Name Value
Write a Pandas program to change the name 'James' to 'Suresh' in name column of the data frame.
  
    Sample DataFrame:
exam_data  = {'name': ['Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'],
        'score': [12.5, 9, 16.5, np.nan, 9, 20, 14.5, np.nan, 8, 19],
        'attempts': [1, 3, 2, 3, 2, 3, 1, 1, 2, 1],
        'qualify': ['yes', 'no', 'yes', 'no', 'no', 'yes', 'yes', 'no', 'no', 'yes']}
labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
Sample Solution :
Python Code :
import pandas as pd
import numpy as np
exam_data  = {'name': ['Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'],
        'score': [12.5, 9, 16.5, np.nan, 9, 20, 14.5, np.nan, 8, 19],
        'attempts': [1, 3, 2, 3, 2, 3, 1, 1, 2, 1],
        'qualify': ['yes', 'no', 'yes', 'no', 'no', 'yes', 'yes', 'no', 'no', 'yes']}
labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
df = pd.DataFrame(exam_data , index=labels)
print("Original rows:")
print(df)
print("\nChange the name 'James' to ‘Suresh’:")
df['name'] = df['name'].replace('James', 'Suresh')
print(df)
Sample Output:
Original rows:                                                          
   attempts       name qualify  score                                  
a         1  Anastasia     yes   12.5                                  
b         3       Dima      no    9.0                                  
c         2  Katherine     yes   16.5                                  
d         3      James      no    NaN                                  
e         2      Emily      no    9.0                                  
f         3    Michael     yes   20.0                                  
g         1    Matthew     yes   14.5                                  
h         1      Laura      no    NaN                                  
i         2      Kevin      no    8.0                                  
j         1      Jonas     yes   19.0                                  
                                                                       
Change the name 'James' to \‘Suresh\’:                                 
   attempts       name qualify  score                                  
a         1  Anastasia     yes   12.5                                  
b         3       Dima      no    9.0                                  
c         2  Katherine     yes   16.5                                  
d         3     Suresh      no    NaN
e         2      Emily      no    9.0                                  
f         3    Michael     yes   20.0                                  
g         1    Matthew     yes   14.5                                  
h         1      Laura      no    NaN                                  
i         2      Kevin      no    8.0                                  
j         1      Jonas     yes   19.0                     
Explanation:
The above code first creates a Pandas DataFrame called ‘df’ with the given ‘exam data’, assigns the provided list ‘labels’ as the index.
df['name'] = df['name'].replace('James', 'Suresh'): This line replaces the name 'James' with 'Suresh' in the name column using the replace() method.
Finally print() function prints the resulting DataFrame.
For more Practice: Solve these Related Problems:
- Write a Pandas program to replace a specific name (e.g., 'James') with a new name ('Suresh') and then output the modified DataFrame.
 - Write a Pandas program to update the 'name' column by replacing a given string with another using a vectorized string method.
 - Write a Pandas program to change a specified name and then verify the update by filtering the DataFrame for the new name.
 - Write a Pandas program to locate a row where 'name' equals 'James', update it to 'Suresh', and then reset the DataFrame index.
 
Go to:
PREV : Replacing Column Values (qualify).
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